Triple
T20960533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Lendl |
E516229
|
entity |
| Predicate | WimbledonSinglesFinals |
P141858
|
FINISHED |
| Object | 2 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 2 | Statement: [Ivan Lendl, WimbledonSinglesFinals, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WimbledonSinglesFinals Context triple: [Ivan Lendl, WimbledonSinglesFinals, 2]
-
A.
wimbledonSinglesTitles
Indicates the number of Wimbledon singles championship titles an entity has won.
-
B.
wonWimbledonSingles
Indicates that an entity has won the Wimbledon tennis tournament in the singles category.
-
C.
lastWimbledonSinglesTitleYear
Indicates the calendar year in which an entity most recently won a Wimbledon singles title.
-
D.
WimbledonSinglesSemifinalAppearances
Indicates the number of times an entity has reached the singles semifinal round at the Wimbledon tennis tournament.
-
E.
grandSlamSinglesFinalResult
Indicates the outcome of a Grand Slam tennis singles final match between competitors, typically specifying the winner, loser, and possibly the score.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6f134081908b1ed48ce708f3d5 |
completed | April 21, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 1:31 p.m.